LARGE SCALE AGENT-BASED MODELING: SIMULATING TWITTER USERS

Abstract

This thesis details an attempt to conduct a large-scale Agent-based modeling

simulation where simulating Twitter users are used as an example. In this thesis,

Computational Mechanics is used for developing rules that govern each Agent. This

thesis also details the development of an entirely new simulation software capable of

simulating a large number of Agents by taking advantage of the parallelism offered

by latest computing platforms. Development details of this simulation software,

named elixrABM, is available from the concept phase to the testing phase of the

simulator.